Overview

Dataset statistics

Number of variables212
Number of observations2515
Missing cells474085
Missing cells (%)88.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 MiB
Average record size in memory1.7 KiB

Variable types

Numeric10
Categorical16
Boolean2
Unsupported184

Alerts

検査種別 has constant value "Vascular IVR"Constant
治療回数 has constant value "1"Constant
23動脈瘤データ_Ver2（An ID 1）::術中Rupture has constant value "True"Constant
検査日 has a high cardinality: 2217 distinct valuesHigh cardinality
Location2 has a high cardinality: 83 distinct valuesHigh cardinality
治療時合併症コメント has a high cardinality: 140 distinct valuesHigh cardinality
患者ID is highly overall correlated with An ID1 and 1 other fieldsHigh correlation
An ID1 is highly overall correlated with 患者ID and 1 other fieldsHigh correlation
年齢 is highly overall correlated with 23動脈瘤データ_Ver2（An ID 1）::術中Date of ruptureHigh correlation
aneurysm neck is highly overall correlated with aneurysm size1 and 5 other fieldsHigh correlation
aneurysm size1 is highly overall correlated with aneurysm neck and 5 other fieldsHigh correlation
aneurysm size2 is highly overall correlated with aneurysm neck and 5 other fieldsHigh correlation
aneurysm size3 is highly overall correlated with aneurysm neck and 5 other fieldsHigh correlation
aneurysm volume is highly overall correlated with aneurysm neck and 5 other fieldsHigh correlation
VER is highly overall correlated with 23動脈瘤データ_Ver2（An ID 1）::術中Date of ruptureHigh correlation
total length is highly overall correlated with aneurysm neck and 5 other fieldsHigh correlation
08個人情報(本院)::性別 is highly overall correlated with 23動脈瘤データ_Ver2（An ID 1）::術中Date of ruptureHigh correlation
An status 1 is highly overall correlated with 23動脈瘤データ_Ver2（An ID 1）::術中Date of ruptureHigh correlation
23動脈瘤データ_Ver2（An ID 1）::Aneurysm Type2 is highly overall correlated with VABAの区分 and 2 other fieldsHigh correlation
Side is highly overall correlated with 23動脈瘤データ_Ver2（An ID 1）::術中Date of ruptureHigh correlation
Location1 is highly overall correlated with VABAの区分 and 2 other fieldsHigh correlation
VABAの区分 is highly overall correlated with 23動脈瘤データ_Ver2（An ID 1）::Aneurysm Type2 and 2 other fieldsHigh correlation
Location2 is highly overall correlated with 23動脈瘤データ_Ver2（An ID 1）::Aneurysm Type2 and 3 other fieldsHigh correlation
再治療 is highly overall correlated with 23動脈瘤データ_Ver2（An ID 1）::術中Date of ruptureHigh correlation
outcome is highly overall correlated with 23動脈瘤データ_Ver2（An ID 1）::術中Date of ruptureHigh correlation
adjunc tech. is highly overall correlated with 23動脈瘤データ_Ver2（An ID 1）::術中Date of ruptureHigh correlation
治療時合併症 is highly overall correlated with 23動脈瘤データ_Ver2（An ID 1）::術中Date of ruptureHigh correlation
23動脈瘤データ_Ver2（An ID 1）::bleb is highly overall correlated with 23動脈瘤データ_Ver2（An ID 1）::術中Date of ruptureHigh correlation
23動脈瘤データ_Ver2（An ID 1）::術中Date of rupture is highly overall correlated with 患者ID and 20 other fieldsHigh correlation
An status 1 is highly imbalanced (74.3%)Imbalance
23動脈瘤データ_Ver2（An ID 1）::Aneurysm Type2 is highly imbalanced (81.6%)Imbalance
Side is highly imbalanced (54.6%)Imbalance
再治療 is highly imbalanced (53.3%)Imbalance
治療時合併症 is highly imbalanced (82.7%)Imbalance
Side has 89 (3.5%) missing valuesMissing
VABAの区分 has 2153 (85.6%) missing valuesMissing
Location2 has 256 (10.2%) missing valuesMissing
aneurysm neck has 134 (5.3%) missing valuesMissing
aneurysm size1 has 47 (1.9%) missing valuesMissing
aneurysm size2 has 95 (3.8%) missing valuesMissing
aneurysm size3 has 161 (6.4%) missing valuesMissing
aneurysm volume has 47 (1.9%) missing valuesMissing
VER has 663 (26.4%) missing valuesMissing
outcome has 114 (4.5%) missing valuesMissing
治療時合併症コメント has 2296 (91.3%) missing valuesMissing
23動脈瘤データ_Ver2（An ID 1）::bleb has 198 (7.9%) missing valuesMissing
23動脈瘤データ_Ver2（An ID 1）::術中Date of rupture has 2501 (99.4%) missing valuesMissing
23動脈瘤データ_Ver2（An ID 1）::術中Rupture has 2501 (99.4%) missing valuesMissing
total length has 51 (2.0%) missing valuesMissing
Unnamed: 28 has 2515 (100.0%) missing valuesMissing
Unnamed: 29 has 2515 (100.0%) missing valuesMissing
Unnamed: 30 has 2515 (100.0%) missing valuesMissing
Unnamed: 31 has 2515 (100.0%) missing valuesMissing
Unnamed: 32 has 2515 (100.0%) missing valuesMissing
Unnamed: 33 has 2515 (100.0%) missing valuesMissing
Unnamed: 34 has 2515 (100.0%) missing valuesMissing
Unnamed: 35 has 2515 (100.0%) missing valuesMissing
Unnamed: 36 has 2515 (100.0%) missing valuesMissing
Unnamed: 37 has 2515 (100.0%) missing valuesMissing
Unnamed: 38 has 2515 (100.0%) missing valuesMissing
Unnamed: 39 has 2515 (100.0%) missing valuesMissing
Unnamed: 40 has 2515 (100.0%) missing valuesMissing
Unnamed: 41 has 2515 (100.0%) missing valuesMissing
Unnamed: 42 has 2515 (100.0%) missing valuesMissing
Unnamed: 43 has 2515 (100.0%) missing valuesMissing
Unnamed: 44 has 2515 (100.0%) missing valuesMissing
Unnamed: 45 has 2515 (100.0%) missing valuesMissing
Unnamed: 46 has 2515 (100.0%) missing valuesMissing
Unnamed: 47 has 2515 (100.0%) missing valuesMissing
Unnamed: 48 has 2515 (100.0%) missing valuesMissing
Unnamed: 49 has 2515 (100.0%) missing valuesMissing
Unnamed: 50 has 2515 (100.0%) missing valuesMissing
Unnamed: 51 has 2515 (100.0%) missing valuesMissing
Unnamed: 52 has 2515 (100.0%) missing valuesMissing
Unnamed: 53 has 2515 (100.0%) missing valuesMissing
Unnamed: 54 has 2515 (100.0%) missing valuesMissing
Unnamed: 55 has 2515 (100.0%) missing valuesMissing
Unnamed: 56 has 2515 (100.0%) missing valuesMissing
Unnamed: 57 has 2515 (100.0%) missing valuesMissing
Unnamed: 58 has 2515 (100.0%) missing valuesMissing
Unnamed: 59 has 2515 (100.0%) missing valuesMissing
Unnamed: 60 has 2515 (100.0%) missing valuesMissing
Unnamed: 61 has 2515 (100.0%) missing valuesMissing
Unnamed: 62 has 2515 (100.0%) missing valuesMissing
Unnamed: 63 has 2515 (100.0%) missing valuesMissing
Unnamed: 64 has 2515 (100.0%) missing valuesMissing
Unnamed: 65 has 2515 (100.0%) missing valuesMissing
Unnamed: 66 has 2515 (100.0%) missing valuesMissing
Unnamed: 67 has 2515 (100.0%) missing valuesMissing
Unnamed: 68 has 2515 (100.0%) missing valuesMissing
Unnamed: 69 has 2515 (100.0%) missing valuesMissing
Unnamed: 70 has 2515 (100.0%) missing valuesMissing
Unnamed: 71 has 2515 (100.0%) missing valuesMissing
Unnamed: 72 has 2515 (100.0%) missing valuesMissing
Unnamed: 73 has 2515 (100.0%) missing valuesMissing
Unnamed: 74 has 2515 (100.0%) missing valuesMissing
Unnamed: 75 has 2515 (100.0%) missing valuesMissing
Unnamed: 76 has 2515 (100.0%) missing valuesMissing
Unnamed: 77 has 2515 (100.0%) missing valuesMissing
Unnamed: 78 has 2515 (100.0%) missing valuesMissing
Unnamed: 79 has 2515 (100.0%) missing valuesMissing
Unnamed: 80 has 2515 (100.0%) missing valuesMissing
Unnamed: 81 has 2515 (100.0%) missing valuesMissing
Unnamed: 82 has 2515 (100.0%) missing valuesMissing
Unnamed: 83 has 2515 (100.0%) missing valuesMissing
Unnamed: 84 has 2515 (100.0%) missing valuesMissing
Unnamed: 85 has 2515 (100.0%) missing valuesMissing
Unnamed: 86 has 2515 (100.0%) missing valuesMissing
Unnamed: 87 has 2515 (100.0%) missing valuesMissing
Unnamed: 88 has 2515 (100.0%) missing valuesMissing
Unnamed: 89 has 2515 (100.0%) missing valuesMissing
Unnamed: 90 has 2515 (100.0%) missing valuesMissing
Unnamed: 91 has 2515 (100.0%) missing valuesMissing
Unnamed: 92 has 2515 (100.0%) missing valuesMissing
Unnamed: 93 has 2515 (100.0%) missing valuesMissing
Unnamed: 94 has 2515 (100.0%) missing valuesMissing
Unnamed: 95 has 2515 (100.0%) missing valuesMissing
Unnamed: 96 has 2515 (100.0%) missing valuesMissing
Unnamed: 97 has 2515 (100.0%) missing valuesMissing
Unnamed: 98 has 2515 (100.0%) missing valuesMissing
Unnamed: 99 has 2515 (100.0%) missing valuesMissing
Unnamed: 100 has 2515 (100.0%) missing valuesMissing
Unnamed: 101 has 2515 (100.0%) missing valuesMissing
Unnamed: 102 has 2515 (100.0%) missing valuesMissing
Unnamed: 103 has 2515 (100.0%) missing valuesMissing
Unnamed: 104 has 2515 (100.0%) missing valuesMissing
Unnamed: 105 has 2515 (100.0%) missing valuesMissing
Unnamed: 106 has 2515 (100.0%) missing valuesMissing
Unnamed: 107 has 2515 (100.0%) missing valuesMissing
Unnamed: 108 has 2515 (100.0%) missing valuesMissing
Unnamed: 109 has 2515 (100.0%) missing valuesMissing
Unnamed: 110 has 2515 (100.0%) missing valuesMissing
Unnamed: 111 has 2515 (100.0%) missing valuesMissing
Unnamed: 112 has 2515 (100.0%) missing valuesMissing
Unnamed: 113 has 2515 (100.0%) missing valuesMissing
Unnamed: 114 has 2515 (100.0%) missing valuesMissing
Unnamed: 115 has 2515 (100.0%) missing valuesMissing
Unnamed: 116 has 2515 (100.0%) missing valuesMissing
Unnamed: 117 has 2515 (100.0%) missing valuesMissing
Unnamed: 118 has 2515 (100.0%) missing valuesMissing
Unnamed: 119 has 2515 (100.0%) missing valuesMissing
Unnamed: 120 has 2515 (100.0%) missing valuesMissing
Unnamed: 121 has 2515 (100.0%) missing valuesMissing
Unnamed: 122 has 2515 (100.0%) missing valuesMissing
Unnamed: 123 has 2515 (100.0%) missing valuesMissing
Unnamed: 124 has 2515 (100.0%) missing valuesMissing
Unnamed: 125 has 2515 (100.0%) missing valuesMissing
Unnamed: 126 has 2515 (100.0%) missing valuesMissing
Unnamed: 127 has 2515 (100.0%) missing valuesMissing
Unnamed: 128 has 2515 (100.0%) missing valuesMissing
Unnamed: 129 has 2515 (100.0%) missing valuesMissing
Unnamed: 130 has 2515 (100.0%) missing valuesMissing
Unnamed: 131 has 2515 (100.0%) missing valuesMissing
Unnamed: 132 has 2515 (100.0%) missing valuesMissing
Unnamed: 133 has 2515 (100.0%) missing valuesMissing
Unnamed: 134 has 2515 (100.0%) missing valuesMissing
Unnamed: 135 has 2515 (100.0%) missing valuesMissing
Unnamed: 136 has 2515 (100.0%) missing valuesMissing
Unnamed: 137 has 2515 (100.0%) missing valuesMissing
Unnamed: 138 has 2515 (100.0%) missing valuesMissing
Unnamed: 139 has 2515 (100.0%) missing valuesMissing
Unnamed: 140 has 2515 (100.0%) missing valuesMissing
Unnamed: 141 has 2515 (100.0%) missing valuesMissing
Unnamed: 142 has 2515 (100.0%) missing valuesMissing
Unnamed: 143 has 2515 (100.0%) missing valuesMissing
Unnamed: 144 has 2515 (100.0%) missing valuesMissing
Unnamed: 145 has 2515 (100.0%) missing valuesMissing
Unnamed: 146 has 2515 (100.0%) missing valuesMissing
Unnamed: 147 has 2515 (100.0%) missing valuesMissing
Unnamed: 148 has 2515 (100.0%) missing valuesMissing
Unnamed: 149 has 2515 (100.0%) missing valuesMissing
Unnamed: 150 has 2515 (100.0%) missing valuesMissing
Unnamed: 151 has 2515 (100.0%) missing valuesMissing
Unnamed: 152 has 2515 (100.0%) missing valuesMissing
Unnamed: 153 has 2515 (100.0%) missing valuesMissing
Unnamed: 154 has 2515 (100.0%) missing valuesMissing
Unnamed: 155 has 2515 (100.0%) missing valuesMissing
Unnamed: 156 has 2515 (100.0%) missing valuesMissing
Unnamed: 157 has 2515 (100.0%) missing valuesMissing
Unnamed: 158 has 2515 (100.0%) missing valuesMissing
Unnamed: 159 has 2515 (100.0%) missing valuesMissing
Unnamed: 160 has 2515 (100.0%) missing valuesMissing
Unnamed: 161 has 2515 (100.0%) missing valuesMissing
Unnamed: 162 has 2515 (100.0%) missing valuesMissing
Unnamed: 163 has 2515 (100.0%) missing valuesMissing
Unnamed: 164 has 2515 (100.0%) missing valuesMissing
Unnamed: 165 has 2515 (100.0%) missing valuesMissing
Unnamed: 166 has 2515 (100.0%) missing valuesMissing
Unnamed: 167 has 2515 (100.0%) missing valuesMissing
Unnamed: 168 has 2515 (100.0%) missing valuesMissing
Unnamed: 169 has 2515 (100.0%) missing valuesMissing
Unnamed: 170 has 2515 (100.0%) missing valuesMissing
Unnamed: 171 has 2515 (100.0%) missing valuesMissing
Unnamed: 172 has 2515 (100.0%) missing valuesMissing
Unnamed: 173 has 2515 (100.0%) missing valuesMissing
Unnamed: 174 has 2515 (100.0%) missing valuesMissing
Unnamed: 175 has 2515 (100.0%) missing valuesMissing
Unnamed: 176 has 2515 (100.0%) missing valuesMissing
Unnamed: 177 has 2515 (100.0%) missing valuesMissing
Unnamed: 178 has 2515 (100.0%) missing valuesMissing
Unnamed: 179 has 2515 (100.0%) missing valuesMissing
Unnamed: 180 has 2515 (100.0%) missing valuesMissing
Unnamed: 181 has 2515 (100.0%) missing valuesMissing
Unnamed: 182 has 2515 (100.0%) missing valuesMissing
Unnamed: 183 has 2515 (100.0%) missing valuesMissing
Unnamed: 184 has 2515 (100.0%) missing valuesMissing
Unnamed: 185 has 2515 (100.0%) missing valuesMissing
Unnamed: 186 has 2515 (100.0%) missing valuesMissing
Unnamed: 187 has 2515 (100.0%) missing valuesMissing
Unnamed: 188 has 2515 (100.0%) missing valuesMissing
Unnamed: 189 has 2515 (100.0%) missing valuesMissing
Unnamed: 190 has 2515 (100.0%) missing valuesMissing
Unnamed: 191 has 2515 (100.0%) missing valuesMissing
Unnamed: 192 has 2515 (100.0%) missing valuesMissing
Unnamed: 193 has 2515 (100.0%) missing valuesMissing
Unnamed: 194 has 2515 (100.0%) missing valuesMissing
Unnamed: 195 has 2515 (100.0%) missing valuesMissing
Unnamed: 196 has 2515 (100.0%) missing valuesMissing
Unnamed: 197 has 2515 (100.0%) missing valuesMissing
Unnamed: 198 has 2515 (100.0%) missing valuesMissing
Unnamed: 199 has 2515 (100.0%) missing valuesMissing
Unnamed: 200 has 2515 (100.0%) missing valuesMissing
Unnamed: 201 has 2515 (100.0%) missing valuesMissing
Unnamed: 202 has 2515 (100.0%) missing valuesMissing
Unnamed: 203 has 2515 (100.0%) missing valuesMissing
Unnamed: 204 has 2515 (100.0%) missing valuesMissing
Unnamed: 205 has 2515 (100.0%) missing valuesMissing
Unnamed: 206 has 2515 (100.0%) missing valuesMissing
Unnamed: 207 has 2515 (100.0%) missing valuesMissing
Unnamed: 208 has 2515 (100.0%) missing valuesMissing
Unnamed: 209 has 2515 (100.0%) missing valuesMissing
Unnamed: 210 has 2515 (100.0%) missing valuesMissing
Unnamed: 211 has 2515 (100.0%) missing valuesMissing
検査日 is uniformly distributedUniform
23動脈瘤データ_Ver2（An ID 1）::術中Date of rupture is uniformly distributedUniform
Unnamed: 28 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 29 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 30 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 31 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 32 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 33 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 34 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 35 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 36 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 37 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 38 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 39 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 40 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 41 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 42 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 43 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 44 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 45 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 46 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 47 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 48 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 49 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 50 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 51 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 52 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 53 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 54 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 55 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 56 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 57 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 58 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 59 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 60 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 61 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 62 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 63 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 64 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 65 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 66 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 67 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 68 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 69 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 70 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 71 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 72 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 73 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 74 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 75 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 76 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 77 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 78 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 79 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 80 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 81 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 82 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 83 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 84 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 85 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 86 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 87 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 88 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 89 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 90 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 91 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 92 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 93 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 94 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 95 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 96 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 97 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 98 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 99 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 100 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 101 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 102 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 103 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 104 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 105 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 106 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 107 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 108 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 109 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 110 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 111 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 112 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 113 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 114 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 115 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 116 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 117 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 118 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 119 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 120 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 121 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 122 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 123 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 124 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 125 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 126 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 127 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 128 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 129 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 130 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 131 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 132 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 133 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 134 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 135 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 136 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 137 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 138 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 139 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 140 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 141 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 142 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 143 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 144 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 145 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 146 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 147 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 148 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 149 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 150 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 151 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 152 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 153 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 154 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 155 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 156 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 157 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 158 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 159 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 160 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 161 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 162 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 163 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 164 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 165 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 166 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 167 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 168 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 169 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 170 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 171 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 172 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 173 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 174 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 175 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 176 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 177 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 178 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 179 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 180 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 181 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 182 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 183 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 184 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 185 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 186 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 187 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 188 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 189 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 190 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 191 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 192 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 193 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 194 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 195 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 196 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 197 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 198 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 199 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 200 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 201 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 202 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 203 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 204 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 205 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 206 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 207 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 208 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 209 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 210 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 211 is an unsupported type, check if it needs cleaning or further analysisUnsupported
aneurysm volume has 114 (4.5%) zerosZeros

Reproduction

Analysis started2023-09-16 06:30:38.594311
Analysis finished2023-09-16 06:30:50.139721
Duration11.55 seconds
Software versionpandas-profiling v0.0.dev0
Download configurationconfig.json

Variables

患者ID
Real number (ℝ)

Distinct2330
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0019311 × 109
Minimum3.0000359 × 109
Maximum3.0031748 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.8 KiB
2023-09-16T15:30:50.189223image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum3.0000359 × 109
5-th percentile3.0009742 × 109
Q13.0015404 × 109
median3.0017971 × 109
Q33.0019936 × 109
95-th percentile3.0031273 × 109
Maximum3.0031748 × 109
Range3138897
Interquartile range (IQR)453146

Descriptive statistics

Standard deviation677405.09
Coefficient of variation (CV)0.00022565644
Kurtosis0.038829431
Mean3.0019311 × 109
Median Absolute Deviation (MAD)221633
Skewness0.42731559
Sum7.5498568 × 1012
Variance4.5887766 × 1011
MonotonicityNot monotonic
2023-09-16T15:30:50.258941image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3001389400 5
 
0.2%
3003070385 5
 
0.2%
3003032161 5
 
0.2%
3000326514 4
 
0.2%
3001612369 4
 
0.2%
3001393726 3
 
0.1%
3000082216 3
 
0.1%
3001776104 3
 
0.1%
3001750852 3
 
0.1%
3001840052 3
 
0.1%
Other values (2320) 2477
98.5%
ValueCountFrequency (%)
3000035905 1
 
< 0.1%
3000043183 1
 
< 0.1%
3000049534 1
 
< 0.1%
3000051089 1
 
< 0.1%
3000055886 1
 
< 0.1%
3000061701 1
 
< 0.1%
3000078630 2
0.1%
3000082216 3
0.1%
3000097402 1
 
< 0.1%
3000110112 1
 
< 0.1%
ValueCountFrequency (%)
3003174802 1
< 0.1%
3003174639 1
< 0.1%
3003174437 1
< 0.1%
3003173802 1
< 0.1%
3003172845 1
< 0.1%
3003172633 1
< 0.1%
3003172145 1
< 0.1%
3003171859 1
< 0.1%
3003171521 1
< 0.1%
3003171426 1
< 0.1%

An ID1
Real number (ℝ)

Distinct2511
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8046.5074
Minimum0
Maximum14347
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size19.8 KiB
2023-09-16T15:30:50.423941image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1933.4
Q15096
median7631
Q311666.5
95-th percentile13913.6
Maximum14347
Range14347
Interquartile range (IQR)6570.5

Descriptive statistics

Standard deviation3775.9914
Coefficient of variation (CV)0.46927086
Kurtosis-1.0600128
Mean8046.5074
Median Absolute Deviation (MAD)3317
Skewness0.0281105
Sum20236966
Variance14258111
MonotonicityNot monotonic
2023-09-16T15:30:50.495127image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6453 2
 
0.1%
6622 2
 
0.1%
11221 2
 
0.1%
13723 2
 
0.1%
11412 1
 
< 0.1%
11779 1
 
< 0.1%
5986 1
 
< 0.1%
11780 1
 
< 0.1%
11603 1
 
< 0.1%
11547 1
 
< 0.1%
Other values (2501) 2501
99.4%
ValueCountFrequency (%)
0 1
< 0.1%
9 1
< 0.1%
13 1
< 0.1%
21 1
< 0.1%
25 1
< 0.1%
33 1
< 0.1%
57 1
< 0.1%
65 1
< 0.1%
77 1
< 0.1%
86 1
< 0.1%
ValueCountFrequency (%)
14347 1
< 0.1%
14346 1
< 0.1%
14345 1
< 0.1%
14344 1
< 0.1%
14343 1
< 0.1%
14342 1
< 0.1%
14341 1
< 0.1%
14340 1
< 0.1%
14339 1
< 0.1%
14338 1
< 0.1%

検査日
Categorical

HIGH CARDINALITY  UNIFORM 

Distinct2217
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
2021/12/23
 
3
2004/11/9
 
3
2018/4/11
 
3
2005/12/2
 
3
2020/3/12
 
3
Other values (2212)
2500 

Length

Max length10
Median length9
Mean length8.9435388
Min length8

Characters and Unicode

Total characters22493
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1938 ?
Unique (%)77.1%

Sample

1st row2003/11/7
2nd row2003/11/12
3rd row2003/11/21
4th row2003/11/26
5th row2003/11/26

Common Values

ValueCountFrequency (%)
2021/12/23 3
 
0.1%
2004/11/9 3
 
0.1%
2018/4/11 3
 
0.1%
2005/12/2 3
 
0.1%
2020/3/12 3
 
0.1%
2019/1/25 3
 
0.1%
2017/7/24 3
 
0.1%
2020/3/25 3
 
0.1%
2023/4/17 3
 
0.1%
2015/1/9 3
 
0.1%
Other values (2207) 2485
98.8%

Length

2023-09-16T15:30:50.565719image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021/12/23 3
 
0.1%
2015/4/20 3
 
0.1%
2004/11/9 3
 
0.1%
2021/2/10 3
 
0.1%
2020/1/16 3
 
0.1%
2012/4/30 3
 
0.1%
2005/11/2 3
 
0.1%
2017/8/18 3
 
0.1%
2018/5/16 3
 
0.1%
2019/12/6 3
 
0.1%
Other values (2207) 2485
98.8%

Most occurring characters

ValueCountFrequency (%)
/ 5030
22.4%
2 4701
20.9%
1 3914
17.4%
0 3756
16.7%
3 824
 
3.7%
6 770
 
3.4%
8 747
 
3.3%
7 731
 
3.2%
4 681
 
3.0%
9 681
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17463
77.6%
Other Punctuation 5030
 
22.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4701
26.9%
1 3914
22.4%
0 3756
21.5%
3 824
 
4.7%
6 770
 
4.4%
8 747
 
4.3%
7 731
 
4.2%
4 681
 
3.9%
9 681
 
3.9%
5 658
 
3.8%
Other Punctuation
ValueCountFrequency (%)
/ 5030
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22493
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 5030
22.4%
2 4701
20.9%
1 3914
17.4%
0 3756
16.7%
3 824
 
3.7%
6 770
 
3.4%
8 747
 
3.3%
7 731
 
3.2%
4 681
 
3.0%
9 681
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22493
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 5030
22.4%
2 4701
20.9%
1 3914
17.4%
0 3756
16.7%
3 824
 
3.7%
6 770
 
3.4%
8 747
 
3.3%
7 731
 
3.2%
4 681
 
3.0%
9 681
 
3.0%

検査種別
Categorical

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
Vascular IVR
2515 

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters30180
Distinct characters10
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowVascular IVR
2nd rowVascular IVR
3rd rowVascular IVR
4th rowVascular IVR
5th rowVascular IVR

Common Values

ValueCountFrequency (%)
Vascular IVR 2515
100.0%

Length

2023-09-16T15:30:50.622338image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T15:30:50.675338image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
vascular 2515
50.0%
ivr 2515
50.0%

Most occurring characters

ValueCountFrequency (%)
V 5030
16.7%
a 5030
16.7%
s 2515
8.3%
c 2515
8.3%
u 2515
8.3%
l 2515
8.3%
r 2515
8.3%
2515
8.3%
I 2515
8.3%
R 2515
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 17605
58.3%
Uppercase Letter 10060
33.3%
Space Separator 2515
 
8.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 5030
28.6%
s 2515
14.3%
c 2515
14.3%
u 2515
14.3%
l 2515
14.3%
r 2515
14.3%
Uppercase Letter
ValueCountFrequency (%)
V 5030
50.0%
I 2515
25.0%
R 2515
25.0%
Space Separator
ValueCountFrequency (%)
2515
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 27665
91.7%
Common 2515
 
8.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
V 5030
18.2%
a 5030
18.2%
s 2515
9.1%
c 2515
9.1%
u 2515
9.1%
l 2515
9.1%
r 2515
9.1%
I 2515
9.1%
R 2515
9.1%
Common
ValueCountFrequency (%)
2515
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
V 5030
16.7%
a 5030
16.7%
s 2515
8.3%
c 2515
8.3%
u 2515
8.3%
l 2515
8.3%
r 2515
8.3%
2515
8.3%
I 2515
8.3%
R 2515
8.3%

08個人情報(本院)::性別
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
女
1826 
男
689 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2515
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row女
2nd row女
3rd row女
4th row女
5th row女

Common Values

ValueCountFrequency (%)
女 1826
72.6%
男 689
 
27.4%

Length

2023-09-16T15:30:50.718066image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T15:30:50.769973image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
女 1826
72.6%
男 689
 
27.4%

Most occurring characters

ValueCountFrequency (%)
女 1826
72.6%
男 689
 
27.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2515
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
女 1826
72.6%
男 689
 
27.4%

Most occurring scripts

ValueCountFrequency (%)
Han 2515
100.0%

Most frequent character per script

Han
ValueCountFrequency (%)
女 1826
72.6%
男 689
 
27.4%

Most occurring blocks

ValueCountFrequency (%)
CJK 2515
100.0%

Most frequent character per block

CJK
ValueCountFrequency (%)
女 1826
72.6%
男 689
 
27.4%

年齢
Real number (ℝ)

Distinct76
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.832604
Minimum0
Maximum91
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size19.8 KiB
2023-09-16T15:30:50.825624image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile38
Q150
median60
Q368
95-th percentile77
Maximum91
Range91
Interquartile range (IQR)18

Descriptive statistics

Standard deviation12.274287
Coefficient of variation (CV)0.2086307
Kurtosis-0.045525872
Mean58.832604
Median Absolute Deviation (MAD)9
Skewness-0.32682231
Sum147964
Variance150.65813
MonotonicityNot monotonic
2023-09-16T15:30:50.893605image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58 88
 
3.5%
66 83
 
3.3%
65 80
 
3.2%
67 80
 
3.2%
57 80
 
3.2%
63 79
 
3.1%
64 78
 
3.1%
56 78
 
3.1%
62 73
 
2.9%
61 72
 
2.9%
Other values (66) 1724
68.5%
ValueCountFrequency (%)
0 1
< 0.1%
9 1
< 0.1%
15 1
< 0.1%
16 1
< 0.1%
19 1
< 0.1%
20 1
< 0.1%
21 2
0.1%
22 2
0.1%
23 1
< 0.1%
25 1
< 0.1%
ValueCountFrequency (%)
91 1
 
< 0.1%
90 1
 
< 0.1%
89 1
 
< 0.1%
88 3
 
0.1%
87 4
0.2%
86 3
 
0.1%
85 4
0.2%
84 7
0.3%
83 6
0.2%
82 9
0.4%

An status 1
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
unrupture
2233 
rupture
280 
unruptured
 
1
unrup Re Treat
 
1

Length

Max length14
Median length9
Mean length8.7797217
Min length7

Characters and Unicode

Total characters22081
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st rowunrupture
2nd rowunrupture
3rd rowunrupture
4th rowunrupture
5th rowrupture

Common Values

ValueCountFrequency (%)
unrupture 2233
88.8%
rupture 280
 
11.1%
unruptured 1
 
< 0.1%
unrup Re Treat 1
 
< 0.1%

Length

2023-09-16T15:30:50.959192image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T15:30:51.016775image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
unrupture 2233
88.7%
rupture 280
 
11.1%
unruptured 1
 
< 0.1%
unrup 1
 
< 0.1%
re 1
 
< 0.1%
treat 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
u 7264
32.9%
r 5030
22.8%
e 2516
 
11.4%
p 2515
 
11.4%
t 2515
 
11.4%
n 2235
 
10.1%
2
 
< 0.1%
d 1
 
< 0.1%
R 1
 
< 0.1%
T 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 22077
> 99.9%
Space Separator 2
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
u 7264
32.9%
r 5030
22.8%
e 2516
 
11.4%
p 2515
 
11.4%
t 2515
 
11.4%
n 2235
 
10.1%
d 1
 
< 0.1%
a 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
R 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 22079
> 99.9%
Common 2
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
u 7264
32.9%
r 5030
22.8%
e 2516
 
11.4%
p 2515
 
11.4%
t 2515
 
11.4%
n 2235
 
10.1%
d 1
 
< 0.1%
R 1
 
< 0.1%
T 1
 
< 0.1%
a 1
 
< 0.1%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22081
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
u 7264
32.9%
r 5030
22.8%
e 2516
 
11.4%
p 2515
 
11.4%
t 2515
 
11.4%
n 2235
 
10.1%
2
 
< 0.1%
d 1
 
< 0.1%
R 1
 
< 0.1%
T 1
 
< 0.1%

23動脈瘤データ_Ver2（An ID 1）::Aneurysm Type2
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
saccular
2409 
dissecting
 
68
fusiform
 
38

Length

Max length10
Median length8
Mean length8.0540755
Min length8

Characters and Unicode

Total characters20256
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowsaccular
2nd rowsaccular
3rd rowsaccular
4th rowsaccular
5th rowsaccular

Common Values

ValueCountFrequency (%)
saccular 2409
95.8%
dissecting 68
 
2.7%
fusiform 38
 
1.5%

Length

2023-09-16T15:30:51.073766image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T15:30:51.136348image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
saccular 2409
95.8%
dissecting 68
 
2.7%
fusiform 38
 
1.5%

Most occurring characters

ValueCountFrequency (%)
c 4886
24.1%
a 4818
23.8%
s 2583
12.8%
u 2447
12.1%
r 2447
12.1%
l 2409
11.9%
i 174
 
0.9%
f 76
 
0.4%
d 68
 
0.3%
e 68
 
0.3%
Other values (5) 280
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 20256
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
c 4886
24.1%
a 4818
23.8%
s 2583
12.8%
u 2447
12.1%
r 2447
12.1%
l 2409
11.9%
i 174
 
0.9%
f 76
 
0.4%
d 68
 
0.3%
e 68
 
0.3%
Other values (5) 280
 
1.4%

Most occurring scripts

ValueCountFrequency (%)
Latin 20256
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
c 4886
24.1%
a 4818
23.8%
s 2583
12.8%
u 2447
12.1%
r 2447
12.1%
l 2409
11.9%
i 174
 
0.9%
f 76
 
0.4%
d 68
 
0.3%
e 68
 
0.3%
Other values (5) 280
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20256
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
c 4886
24.1%
a 4818
23.8%
s 2583
12.8%
u 2447
12.1%
r 2447
12.1%
l 2409
11.9%
i 174
 
0.9%
f 76
 
0.4%
d 68
 
0.3%
e 68
 
0.3%
Other values (5) 280
 
1.4%

Side
Categorical

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct5
Distinct (%)0.2%
Missing89
Missing (%)3.5%
Memory size19.8 KiB
Lt
1339 
Rt
1070 
①Rt②Lt.
 
9
①Lt.②Rt.
 
6
①Rt.②Lt.
 
2

Length

Max length8
Median length2
Mean length2.0383347
Min length2

Characters and Unicode

Total characters4945
Distinct characters6
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRt
2nd rowLt
3rd rowLt
4th rowLt
5th rowLt

Common Values

ValueCountFrequency (%)
Lt 1339
53.2%
Rt 1070
42.5%
①Rt②Lt. 9
 
0.4%
①Lt.②Rt. 6
 
0.2%
①Rt.②Lt. 2
 
0.1%
(Missing) 89
 
3.5%

Length

2023-09-16T15:30:51.186348image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T15:30:51.244884image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
lt 1339
55.2%
rt 1070
44.1%
①rt②lt 9
 
0.4%
①lt.②rt 6
 
0.2%
①rt.②lt 2
 
0.1%

Most occurring characters

ValueCountFrequency (%)
t 2443
49.4%
L 1356
27.4%
R 1087
22.0%
. 25
 
0.5%
① 17
 
0.3%
② 17
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2443
49.4%
Uppercase Letter 2443
49.4%
Other Number 34
 
0.7%
Other Punctuation 25
 
0.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
L 1356
55.5%
R 1087
44.5%
Other Number
ValueCountFrequency (%)
① 17
50.0%
② 17
50.0%
Lowercase Letter
ValueCountFrequency (%)
t 2443
100.0%
Other Punctuation
ValueCountFrequency (%)
. 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4886
98.8%
Common 59
 
1.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 2443
50.0%
L 1356
27.8%
R 1087
22.2%
Common
ValueCountFrequency (%)
. 25
42.4%
① 17
28.8%
② 17
28.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4911
99.3%
Enclosed Alphanum 34
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 2443
49.7%
L 1356
27.6%
R 1087
22.1%
. 25
 
0.5%
Enclosed Alphanum
ValueCountFrequency (%)
① 17
50.0%
② 17
50.0%

Location1
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
ICA
1515 
ACA
397 
VABA
362 
MCA
241 

Length

Max length4
Median length3
Mean length3.1439364
Min length3

Characters and Unicode

Total characters7907
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowICA
2nd rowICA
3rd rowICA
4th rowICA
5th rowVABA

Common Values

ValueCountFrequency (%)
ICA 1515
60.2%
ACA 397
 
15.8%
VABA 362
 
14.4%
MCA 241
 
9.6%

Length

2023-09-16T15:30:51.302884image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T15:30:51.360401image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
ica 1515
60.2%
aca 397
 
15.8%
vaba 362
 
14.4%
mca 241
 
9.6%

Most occurring characters

ValueCountFrequency (%)
A 3274
41.4%
C 2153
27.2%
I 1515
19.2%
V 362
 
4.6%
B 362
 
4.6%
M 241
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 7907
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 3274
41.4%
C 2153
27.2%
I 1515
19.2%
V 362
 
4.6%
B 362
 
4.6%
M 241
 
3.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7907
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 3274
41.4%
C 2153
27.2%
I 1515
19.2%
V 362
 
4.6%
B 362
 
4.6%
M 241
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7907
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 3274
41.4%
C 2153
27.2%
I 1515
19.2%
V 362
 
4.6%
B 362
 
4.6%
M 241
 
3.0%

VABAの区分
Categorical

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)0.6%
Missing2153
Missing (%)85.6%
Memory size19.8 KiB
BA
202 
VA
160 

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters724
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowVA
2nd rowBA
3rd rowBA
4th rowBA
5th rowVA

Common Values

ValueCountFrequency (%)
BA 202
 
8.0%
VA 160
 
6.4%
(Missing) 2153
85.6%

Length

2023-09-16T15:30:51.415230image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T15:30:51.469336image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
ba 202
55.8%
va 160
44.2%

Most occurring characters

ValueCountFrequency (%)
A 362
50.0%
B 202
27.9%
V 160
22.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 724
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 362
50.0%
B 202
27.9%
V 160
22.1%

Most occurring scripts

ValueCountFrequency (%)
Latin 724
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 362
50.0%
B 202
27.9%
V 160
22.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 724
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 362
50.0%
B 202
27.9%
V 160
22.1%

Location2
Categorical

HIGH CARDINALITY  HIGH CORRELATION  MISSING 

Distinct83
Distinct (%)3.7%
Missing256
Missing (%)10.2%
Memory size19.8 KiB
Superior hypophyseal artery
453 
Pcom
414 
Acom
286 
ophthalmic
178 
top
156 
Other values (78)
772 

Length

Max length28
Median length27
Mean length10.219566
Min length2

Characters and Unicode

Total characters23086
Distinct characters60
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)1.5%

Sample

1st rowPcom
2nd rowSuperior hypophyseal artery
3rd rowant. choro
4th rowophthalmic
5th rowVA-PICA

Common Values

ValueCountFrequency (%)
Superior hypophyseal artery 453
18.0%
Pcom 414
16.5%
Acom 286
11.4%
ophthalmic 178
 
7.1%
top 156
 
6.2%
ant. choro 113
 
4.5%
cavernous 83
 
3.3%
A1-A2 53
 
2.1%
BA-SCA 48
 
1.9%
ant. wall 45
 
1.8%
Other values (73) 430
17.1%
(Missing) 256
10.2%

Length

2023-09-16T15:30:51.525131image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
artery 454
13.3%
superior 453
13.3%
hypophyseal 453
13.3%
pcom 414
12.1%
acom 287
8.4%
ophthalmic 206
 
6.0%
top 159
 
4.7%
ant 158
 
4.6%
choro 113
 
3.3%
cavernous 83
 
2.4%
Other values (63) 628
18.4%

Most occurring characters

ValueCountFrequency (%)
o 2394
 
10.4%
r 2127
 
9.2%
p 1739
 
7.5%
e 1506
 
6.5%
a 1489
 
6.4%
h 1449
 
6.3%
y 1360
 
5.9%
c 1186
 
5.1%
1180
 
5.1%
t 1091
 
4.7%
Other values (50) 7565
32.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 19019
82.4%
Uppercase Letter 2369
 
10.3%
Space Separator 1181
 
5.1%
Dash Punctuation 199
 
0.9%
Other Punctuation 161
 
0.7%
Decimal Number 140
 
0.6%
Other Letter 7
 
< 0.1%
Control 6
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 2394
12.6%
r 2127
11.2%
p 1739
9.1%
e 1506
7.9%
a 1489
 
7.8%
h 1449
 
7.6%
y 1360
 
7.2%
c 1186
 
6.2%
t 1091
 
5.7%
m 947
 
5.0%
Other values (13) 3731
19.6%
Uppercase Letter
ValueCountFrequency (%)
A 768
32.4%
S 561
23.7%
P 520
22.0%
C 173
 
7.3%
V 114
 
4.8%
I 67
 
2.8%
B 58
 
2.4%
H 35
 
1.5%
M 29
 
1.2%
O 18
 
0.8%
Other values (7) 26
 
1.1%
Other Letter
ValueCountFrequency (%)
岐 1
14.3%
分 1
14.3%
発 1
14.3%
併 1
14.3%
前 1
14.3%
手 1
14.3%
部 1
14.3%
Decimal Number
ValueCountFrequency (%)
1 69
49.3%
2 67
47.9%
3 4
 
2.9%
Space Separator
ValueCountFrequency (%)
1180
99.9%
　 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 160
99.4%
? 1
 
0.6%
Control
ValueCountFrequency (%)
3
50.0%
3
50.0%
Open Punctuation
ValueCountFrequency (%)
( 1
50.0%
（ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 199
100.0%
Close Punctuation
ValueCountFrequency (%)
） 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 21388
92.6%
Common 1691
 
7.3%
Han 7
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 2394
 
11.2%
r 2127
 
9.9%
p 1739
 
8.1%
e 1506
 
7.0%
a 1489
 
7.0%
h 1449
 
6.8%
y 1360
 
6.4%
c 1186
 
5.5%
t 1091
 
5.1%
m 947
 
4.4%
Other values (30) 6100
28.5%
Common
ValueCountFrequency (%)
1180
69.8%
- 199
 
11.8%
. 160
 
9.5%
1 69
 
4.1%
2 67
 
4.0%
3 4
 
0.2%
3
 
0.2%
3
 
0.2%
） 2
 
0.1%
( 1
 
0.1%
Other values (3) 3
 
0.2%
Han
ValueCountFrequency (%)
岐 1
14.3%
分 1
14.3%
発 1
14.3%
併 1
14.3%
前 1
14.3%
手 1
14.3%
部 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23075
> 99.9%
CJK 7
 
< 0.1%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 2394
 
10.4%
r 2127
 
9.2%
p 1739
 
7.5%
e 1506
 
6.5%
a 1489
 
6.5%
h 1449
 
6.3%
y 1360
 
5.9%
c 1186
 
5.1%
1180
 
5.1%
t 1091
 
4.7%
Other values (40) 7554
32.7%
None
ValueCountFrequency (%)
） 2
50.0%
　 1
25.0%
（ 1
25.0%
CJK
ValueCountFrequency (%)
岐 1
14.3%
分 1
14.3%
発 1
14.3%
併 1
14.3%
前 1
14.3%
手 1
14.3%
部 1
14.3%

aneurysm neck
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct190
Distinct (%)8.0%
Missing134
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean4.7578282
Minimum0.7
Maximum22.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.8 KiB
2023-09-16T15:30:51.590125image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.7
5-th percentile2.3
Q13.4
median4.2
Q35.52
95-th percentile9.2
Maximum22.4
Range21.7
Interquartile range (IQR)2.12

Descriptive statistics

Standard deviation2.2281323
Coefficient of variation (CV)0.46830869
Kurtosis7.1380277
Mean4.7578282
Median Absolute Deviation (MAD)1
Skewness2.0489937
Sum11328.389
Variance4.9645735
MonotonicityNot monotonic
2023-09-16T15:30:51.669649image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.6 74
 
2.9%
3.5 72
 
2.9%
3 70
 
2.8%
4.1 70
 
2.8%
3.4 70
 
2.8%
3.9 68
 
2.7%
4 68
 
2.7%
4.2 67
 
2.7%
4.4 61
 
2.4%
4.3 60
 
2.4%
Other values (180) 1701
67.6%
(Missing) 134
 
5.3%
ValueCountFrequency (%)
0.7 1
 
< 0.1%
1 1
 
< 0.1%
1.05 1
 
< 0.1%
1.1 1
 
< 0.1%
1.14 1
 
< 0.1%
1.3 6
0.2%
1.4 3
0.1%
1.5 2
 
0.1%
1.6 7
0.3%
1.7 6
0.2%
ValueCountFrequency (%)
22.4 1
< 0.1%
20.9 1
< 0.1%
19.3 1
< 0.1%
17.9 1
< 0.1%
17.1 1
< 0.1%
16.6 1
< 0.1%
16.3 1
< 0.1%
15.9 1
< 0.1%
15.4 2
0.1%
15.1 1
< 0.1%

aneurysm size1
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct238
Distinct (%)9.6%
Missing47
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean6.25697
Minimum1.2
Maximum56.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.8 KiB
2023-09-16T15:30:51.735199image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1.2
5-th percentile3.1
Q14.2
median5.2
Q37
95-th percentile13
Maximum56.99
Range55.79
Interquartile range (IQR)2.8

Descriptive statistics

Standard deviation3.7655468
Coefficient of variation (CV)0.60181635
Kurtosis22.878112
Mean6.25697
Median Absolute Deviation (MAD)1.2
Skewness3.5600365
Sum15442.202
Variance14.179343
MonotonicityNot monotonic
2023-09-16T15:30:51.883578image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.4 78
 
3.1%
4.9 69
 
2.7%
4 67
 
2.7%
4.1 64
 
2.5%
5.2 63
 
2.5%
5.1 62
 
2.5%
4.5 62
 
2.5%
4.6 60
 
2.4%
3.9 60
 
2.4%
3.8 58
 
2.3%
Other values (228) 1825
72.6%
ValueCountFrequency (%)
1.2 1
 
< 0.1%
1.5 1
 
< 0.1%
1.75 1
 
< 0.1%
1.9 3
 
0.1%
2 8
0.3%
2.1 4
 
0.2%
2.2 1
 
< 0.1%
2.3 2
 
0.1%
2.4 4
 
0.2%
2.5 14
0.6%
ValueCountFrequency (%)
56.99 1
< 0.1%
33.9 1
< 0.1%
32 1
< 0.1%
31 1
< 0.1%
30.8 1
< 0.1%
30 2
0.1%
29.53 1
< 0.1%
27.3 1
< 0.1%
26.9 1
< 0.1%
26 1
< 0.1%

aneurysm size2
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct241
Distinct (%)10.0%
Missing95
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean5.948226
Minimum0.9
Maximum25.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.8 KiB
2023-09-16T15:30:51.950172image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.9
5-th percentile2.8
Q14
median5.035
Q36.7
95-th percentile12.5715
Maximum25.7
Range24.8
Interquartile range (IQR)2.7

Descriptive statistics

Standard deviation3.237112
Coefficient of variation (CV)0.5442147
Kurtosis6.4741132
Mean5.948226
Median Absolute Deviation (MAD)1.265
Skewness2.2194985
Sum14394.707
Variance10.478894
MonotonicityNot monotonic
2023-09-16T15:30:52.018725image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.5 68
 
2.7%
4 61
 
2.4%
4.4 60
 
2.4%
4.3 60
 
2.4%
4.7 59
 
2.3%
4.2 57
 
2.3%
5 53
 
2.1%
4.1 52
 
2.1%
3.9 52
 
2.1%
4.8 50
 
2.0%
Other values (231) 1848
73.5%
(Missing) 95
 
3.8%
ValueCountFrequency (%)
0.9 1
 
< 0.1%
1.2 1
 
< 0.1%
1.3 4
 
0.2%
1.4 2
 
0.1%
1.5 1
 
< 0.1%
1.6 2
 
0.1%
1.7 1
 
< 0.1%
1.8 3
 
0.1%
2 9
0.4%
2.1 13
0.5%
ValueCountFrequency (%)
25.7 1
< 0.1%
25 1
< 0.1%
24.6 1
< 0.1%
24 1
< 0.1%
23 1
< 0.1%
22.6 1
< 0.1%
22.3 1
< 0.1%
22.2 1
< 0.1%
21.8 1
< 0.1%
20.9 1
< 0.1%

aneurysm size3
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct264
Distinct (%)11.2%
Missing161
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean5.976859
Minimum1.2
Maximum33.165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.8 KiB
2023-09-16T15:30:52.088725image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1.2
5-th percentile3
Q14.1
median5.1
Q36.7
95-th percentile12.1
Maximum33.165
Range31.965
Interquartile range (IQR)2.6

Descriptive statistics

Standard deviation3.1373505
Coefficient of variation (CV)0.52491626
Kurtosis10.041847
Mean5.976859
Median Absolute Deviation (MAD)1.2
Skewness2.6168954
Sum14069.526
Variance9.842968
MonotonicityNot monotonic
2023-09-16T15:30:52.152245image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 81
 
3.2%
4.5 69
 
2.7%
4.3 66
 
2.6%
5 65
 
2.6%
4.2 63
 
2.5%
5.2 62
 
2.5%
3.9 59
 
2.3%
4.9 58
 
2.3%
4.7 55
 
2.2%
4.4 54
 
2.1%
Other values (254) 1722
68.5%
(Missing) 161
 
6.4%
ValueCountFrequency (%)
1.2 1
 
< 0.1%
1.4 1
 
< 0.1%
1.7 1
 
< 0.1%
1.8 3
0.1%
1.9 2
 
0.1%
2 5
0.2%
2.1 4
0.2%
2.2 4
0.2%
2.3 4
0.2%
2.4 2
 
0.1%
ValueCountFrequency (%)
33.165 1
< 0.1%
28.5 1
< 0.1%
27 1
< 0.1%
25.95 1
< 0.1%
25.5 1
< 0.1%
22.4 1
< 0.1%
22.1 1
< 0.1%
21.7 1
< 0.1%
21.5 2
0.1%
21.3 1
< 0.1%

aneurysm volume
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct1586
Distinct (%)64.3%
Missing47
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean231.40386
Minimum0
Maximum10173.6
Zeros114
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size19.8 KiB
2023-09-16T15:30:52.223796image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.0506
Q132.97
median64.765117
Q3145.95819
95-th percentile920.36953
Maximum10173.6
Range10173.6
Interquartile range (IQR)112.98819

Descriptive statistics

Standard deviation684.14867
Coefficient of variation (CV)2.9565137
Kurtosis81.730884
Mean231.40386
Median Absolute Deviation (MAD)40.518037
Skewness7.909803
Sum571104.72
Variance468059.4
MonotonicityNot monotonic
2023-09-16T15:30:52.289783image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 114
 
4.5%
33.4724 10
 
0.4%
41.58616 8
 
0.3%
41.51865 8
 
0.3%
47.6652 8
 
0.3%
44.5566 8
 
0.3%
61.46707 8
 
0.3%
32.61413333 8
 
0.3%
21.98 7
 
0.3%
23.7384 7
 
0.3%
Other values (1576) 2282
90.7%
(Missing) 47
 
1.9%
ValueCountFrequency (%)
0 114
4.5%
0.97968 1
 
< 0.1%
1.4287 1
 
< 0.1%
2.00175 1
 
< 0.1%
2.69412 1
 
< 0.1%
2.76948 1
 
< 0.1%
3.0144 1
 
< 0.1%
3.231583333 1
 
< 0.1%
3.40062 1
 
< 0.1%
3.851733333 1
 
< 0.1%
ValueCountFrequency (%)
10173.6 1
< 0.1%
9238.55253 1
< 0.1%
9120.39219 1
< 0.1%
8823.51932 1
< 0.1%
8674.25 1
< 0.1%
8385.36215 1
< 0.1%
5907.52064 1
< 0.1%
5476.92145 1
< 0.1%
5299.09226 1
< 0.1%
5175.766667 1
< 0.1%

再治療
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
無
2265 
有
250 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2515
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row無
2nd row無
3rd row無
4th row有
5th row無

Common Values

ValueCountFrequency (%)
無 2265
90.1%
有 250
 
9.9%

Length

2023-09-16T15:30:52.347522image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T15:30:52.399529image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
無 2265
90.1%
有 250
 
9.9%

Most occurring characters

ValueCountFrequency (%)
無 2265
90.1%
有 250
 
9.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2515
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
無 2265
90.1%
有 250
 
9.9%

Most occurring scripts

ValueCountFrequency (%)
Han 2515
100.0%

Most frequent character per script

Han
ValueCountFrequency (%)
無 2265
90.1%
有 250
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
CJK 2515
100.0%

Most frequent character per block

CJK
ValueCountFrequency (%)
無 2265
90.1%
有 250
 
9.9%

治療回数
Categorical

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
1
2515 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2515
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 2515
100.0%

Length

2023-09-16T15:30:52.449041image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T15:30:52.504041image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2515
100.0%

Most occurring characters

ValueCountFrequency (%)
1 2515
100.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2515
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2515
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2515
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2515
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2515
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2515
100.0%

VER
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct306
Distinct (%)16.5%
Missing663
Missing (%)26.4%
Infinite0
Infinite (%)0.0%
Mean25.479306
Minimum0
Maximum60
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size19.8 KiB
2023-09-16T15:30:52.554848image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.3
Q121.8
median25.1
Q328.625
95-th percentile35.645
Maximum60
Range60
Interquartile range (IQR)6.825

Descriptive statistics

Standard deviation6.1565374
Coefficient of variation (CV)0.24162893
Kurtosis2.3842858
Mean25.479306
Median Absolute Deviation (MAD)3.4
Skewness0.54776769
Sum47187.674
Variance37.902953
MonotonicityNot monotonic
2023-09-16T15:30:52.622277image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24 26
 
1.0%
26.9 23
 
0.9%
24.6 22
 
0.9%
21.8 22
 
0.9%
28 20
 
0.8%
27.9 19
 
0.8%
26.7 18
 
0.7%
23.6 18
 
0.7%
26.4 18
 
0.7%
24.3 17
 
0.7%
Other values (296) 1649
65.6%
(Missing) 663
26.4%
ValueCountFrequency (%)
0 2
0.1%
5.8 1
< 0.1%
5.9 1
< 0.1%
6 1
< 0.1%
6.6 1
< 0.1%
8.1 1
< 0.1%
8.4 1
< 0.1%
8.8 1
< 0.1%
9.8 1
< 0.1%
10 2
0.1%
ValueCountFrequency (%)
60 1
< 0.1%
52.9 1
< 0.1%
52.8 1
< 0.1%
52.6 1
< 0.1%
51.9 1
< 0.1%
51.8 1
< 0.1%
50.4 2
0.1%
48.9 1
< 0.1%
48.7 2
0.1%
48.2 1
< 0.1%

outcome
Categorical

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)0.2%
Missing114
Missing (%)4.5%
Memory size19.8 KiB
Neck remnant
1556 
Complete occlusion
447 
Body filling
384 
attempt
 
14

Length

Max length18
Median length12
Mean length13.08788
Min length7

Characters and Unicode

Total characters31424
Distinct characters22
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowComplete occlusion
2nd rowComplete occlusion
3rd rowComplete occlusion
4th rowNeck remnant
5th rowBody filling

Common Values

ValueCountFrequency (%)
Neck remnant 1556
61.9%
Complete occlusion 447
 
17.8%
Body filling 384
 
15.3%
attempt 14
 
0.6%
(Missing) 114
 
4.5%

Length

2023-09-16T15:30:52.686297image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T15:30:52.740887image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
neck 1556
32.5%
remnant 1556
32.5%
complete 447
 
9.3%
occlusion 447
 
9.3%
body 384
 
8.0%
filling 384
 
8.0%
attempt 14
 
0.3%

Most occurring characters

ValueCountFrequency (%)
e 4020
12.8%
n 3943
12.5%
c 2450
 
7.8%
2387
 
7.6%
t 2045
 
6.5%
m 2017
 
6.4%
o 1725
 
5.5%
l 1662
 
5.3%
a 1570
 
5.0%
N 1556
 
5.0%
Other values (12) 8049
25.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 26650
84.8%
Space Separator 2387
 
7.6%
Uppercase Letter 2387
 
7.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 4020
15.1%
n 3943
14.8%
c 2450
9.2%
t 2045
7.7%
m 2017
7.6%
o 1725
6.5%
l 1662
6.2%
a 1570
 
5.9%
r 1556
 
5.8%
k 1556
 
5.8%
Other values (8) 4106
15.4%
Uppercase Letter
ValueCountFrequency (%)
N 1556
65.2%
C 447
 
18.7%
B 384
 
16.1%
Space Separator
ValueCountFrequency (%)
2387
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 29037
92.4%
Common 2387
 
7.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 4020
13.8%
n 3943
13.6%
c 2450
 
8.4%
t 2045
 
7.0%
m 2017
 
6.9%
o 1725
 
5.9%
l 1662
 
5.7%
a 1570
 
5.4%
N 1556
 
5.4%
r 1556
 
5.4%
Other values (11) 6493
22.4%
Common
ValueCountFrequency (%)
2387
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31424
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 4020
12.8%
n 3943
12.5%
c 2450
 
7.8%
2387
 
7.6%
t 2045
 
6.5%
m 2017
 
6.4%
o 1725
 
5.5%
l 1662
 
5.3%
a 1570
 
5.0%
N 1556
 
5.0%
Other values (12) 8049
25.6%

adjunc tech.
Categorical

Distinct32
Distinct (%)1.3%
Missing19
Missing (%)0.8%
Memory size19.8 KiB
Stent assist
423 
Simple
383 
Double cathe
363 
Double cathe (DC)
354 
BAT
320 
Other values (27)
653 

Length

Max length20
Median length16
Mean length10.010417
Min length3

Characters and Unicode

Total characters24986
Distinct characters52
Distinct categories8 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.2%

Sample

1st row記載不可
2nd row記載不可
3rd row記載不可
4th rowSimple
5th rowSimple

Common Values

ValueCountFrequency (%)
Stent assist 423
16.8%
Simple 383
15.2%
Double cathe 363
14.4%
Double cathe (DC) 354
14.1%
BAT 320
12.7%
記載不可 129
 
5.1%
Simple Balloon待機 113
 
4.5%
StentからDC 71
 
2.8%
DAC+Simple 58
 
2.3%
DCからStent 46
 
1.8%
Other values (22) 236
9.4%

Length

2023-09-16T15:30:52.800919image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cathe 719
16.9%
double 717
16.9%
simple 496
11.7%
stent 437
10.3%
assist 423
10.0%
dc 366
8.6%
bat 324
7.6%
記載不可 129
 
3.0%
balloon待機 113
 
2.7%
stentからdc 71
 
1.7%
Other values (25) 455
10.7%

Most occurring characters

ValueCountFrequency (%)
e 2720
 
10.9%
t 2394
 
9.6%
1754
 
7.0%
l 1595
 
6.4%
D 1401
 
5.6%
s 1277
 
5.1%
a 1255
 
5.0%
S 1174
 
4.7%
i 1075
 
4.3%
o 1022
 
4.1%
Other values (42) 9319
37.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 16272
65.1%
Uppercase Letter 4708
 
18.8%
Space Separator 1754
 
7.0%
Other Letter 1418
 
5.7%
Open Punctuation 354
 
1.4%
Close Punctuation 354
 
1.4%
Math Symbol 112
 
0.4%
Other Punctuation 14
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2720
16.7%
t 2394
14.7%
l 1595
9.8%
s 1277
7.8%
a 1255
7.7%
i 1075
 
6.6%
o 1022
 
6.3%
c 727
 
4.5%
u 725
 
4.5%
h 719
 
4.4%
Other values (7) 2763
17.0%
Other Letter
ValueCountFrequency (%)
ら 208
14.7%
か 208
14.7%
可 129
9.1%
不 129
9.1%
載 129
9.1%
記 129
9.1%
機 113
8.0%
待 113
8.0%
ｷ 32
 
2.3%
ﾙ 32
 
2.3%
Other values (7) 196
13.8%
Uppercase Letter
ValueCountFrequency (%)
D 1401
29.8%
S 1174
24.9%
C 639
13.6%
B 524
 
11.1%
A 468
 
9.9%
T 411
 
8.7%
F 78
 
1.7%
R 8
 
0.2%
W 2
 
< 0.1%
E 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
+ 92
82.1%
→ 20
 
17.9%
Other Punctuation
ValueCountFrequency (%)
& 12
85.7%
. 2
 
14.3%
Space Separator
ValueCountFrequency (%)
1754
100.0%
Open Punctuation
ValueCountFrequency (%)
( 354
100.0%
Close Punctuation
ValueCountFrequency (%)
) 354
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 20980
84.0%
Common 2588
 
10.4%
Han 746
 
3.0%
Hiragana 416
 
1.7%
Katakana 256
 
1.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2720
13.0%
t 2394
 
11.4%
l 1595
 
7.6%
D 1401
 
6.7%
s 1277
 
6.1%
a 1255
 
6.0%
S 1174
 
5.6%
i 1075
 
5.1%
o 1022
 
4.9%
c 727
 
3.5%
Other values (18) 6340
30.2%
Katakana
ValueCountFrequency (%)
ｷ 32
12.5%
ﾙ 32
12.5%
ｬ 32
12.5%
ｼ 32
12.5%
ｱ 32
12.5%
ｲ 32
12.5%
ﾗ 32
12.5%
ﾄ 32
12.5%
Common
ValueCountFrequency (%)
1754
67.8%
( 354
 
13.7%
) 354
 
13.7%
+ 92
 
3.6%
→ 20
 
0.8%
& 12
 
0.5%
. 2
 
0.1%
Han
ValueCountFrequency (%)
可 129
17.3%
不 129
17.3%
載 129
17.3%
記 129
17.3%
機 113
15.1%
待 113
15.1%
内 4
 
0.5%
Hiragana
ValueCountFrequency (%)
ら 208
50.0%
か 208
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23548
94.2%
CJK 746
 
3.0%
Hiragana 416
 
1.7%
None 256
 
1.0%
Arrows 20
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 2720
 
11.6%
t 2394
 
10.2%
1754
 
7.4%
l 1595
 
6.8%
D 1401
 
5.9%
s 1277
 
5.4%
a 1255
 
5.3%
S 1174
 
5.0%
i 1075
 
4.6%
o 1022
 
4.3%
Other values (24) 7881
33.5%
Hiragana
ValueCountFrequency (%)
ら 208
50.0%
か 208
50.0%
CJK
ValueCountFrequency (%)
可 129
17.3%
不 129
17.3%
載 129
17.3%
記 129
17.3%
機 113
15.1%
待 113
15.1%
内 4
 
0.5%
None
ValueCountFrequency (%)
ｷ 32
12.5%
ﾙ 32
12.5%
ｬ 32
12.5%
ｼ 32
12.5%
ｱ 32
12.5%
ｲ 32
12.5%
ﾗ 32
12.5%
ﾄ 32
12.5%
Arrows
ValueCountFrequency (%)
→ 20
100.0%

治療時合併症
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct16
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
none
2279 
Ischemic complication
 
95
Hemorrhagic complication
 
56
Others
 
24
Puncture site
 
15
Other values (11)
 
46

Length

Max length32
Median length4
Mean length5.4071571
Min length2

Characters and Unicode

Total characters13599
Distinct characters45
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.2%

Sample

1st rownone
2nd rownone
3rd rownone
4th rownone
5th rownone

Common Values

ValueCountFrequency (%)
none 2279
90.6%
Ischemic complication 95
 
3.8%
Hemorrhagic complication 56
 
2.2%
Others 24
 
1.0%
Puncture site 15
 
0.6%
Cranial nerve palsy 14
 
0.6%
Procedure related complication 11
 
0.4%
※確認 10
 
0.4%
Hemorrhagic complication/ others 3
 
0.1%
※分類確認 2
 
0.1%
Other values (6) 6
 
0.2%

Length

2023-09-16T15:30:52.862518image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
none 2279
83.2%
complication 165
 
6.0%
ischemic 96
 
3.5%
hemorrhagic 60
 
2.2%
others 27
 
1.0%
puncture 15
 
0.5%
site 15
 
0.5%
nerve 14
 
0.5%
palsy 14
 
0.5%
cranial 14
 
0.5%
Other values (9) 39
 
1.4%

Most occurring characters

ValueCountFrequency (%)
n 4767
35.1%
o 2686
19.8%
e 2565
18.9%
c 610
 
4.5%
i 518
 
3.8%
m 323
 
2.4%
a 280
 
2.1%
t 238
 
1.8%
r 224
 
1.6%
223
 
1.6%
Other values (35) 1165
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 13085
96.2%
Space Separator 223
 
1.6%
Uppercase Letter 221
 
1.6%
Other Letter 45
 
0.3%
Other Punctuation 21
 
0.2%
Decimal Number 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 4767
36.4%
o 2686
20.5%
e 2565
19.6%
c 610
 
4.7%
i 518
 
4.0%
m 323
 
2.5%
a 280
 
2.1%
t 238
 
1.8%
r 224
 
1.7%
l 205
 
1.6%
Other values (8) 669
 
5.1%
Other Letter
ValueCountFrequency (%)
認 16
35.6%
確 16
35.6%
分 2
 
4.4%
類 2
 
4.4%
動 1
 
2.2%
療 1
 
2.2%
治 1
 
2.2%
瘤 1
 
2.2%
脈 1
 
2.2%
要 1
 
2.2%
Other values (3) 3
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
I 96
43.4%
H 61
27.6%
P 26
 
11.8%
O 24
 
10.9%
C 14
 
6.3%
Other Punctuation
ValueCountFrequency (%)
※ 15
71.4%
/ 3
 
14.3%
！ 2
 
9.5%
？ 1
 
4.8%
Space Separator
ValueCountFrequency (%)
223
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Close Punctuation
ValueCountFrequency (%)
） 1
100.0%
Open Punctuation
ValueCountFrequency (%)
（ 1
100.0%
Math Symbol
ValueCountFrequency (%)
→ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13306
97.8%
Common 248
 
1.8%
Han 44
 
0.3%
Hiragana 1
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 4767
35.8%
o 2686
20.2%
e 2565
19.3%
c 610
 
4.6%
i 518
 
3.9%
m 323
 
2.4%
a 280
 
2.1%
t 238
 
1.8%
r 224
 
1.7%
l 205
 
1.5%
Other values (13) 890
 
6.7%
Han
ValueCountFrequency (%)
認 16
36.4%
確 16
36.4%
分 2
 
4.5%
類 2
 
4.5%
動 1
 
2.3%
療 1
 
2.3%
治 1
 
2.3%
瘤 1
 
2.3%
脈 1
 
2.3%
要 1
 
2.3%
Other values (2) 2
 
4.5%
Common
ValueCountFrequency (%)
223
89.9%
※ 15
 
6.0%
/ 3
 
1.2%
！ 2
 
0.8%
？ 1
 
0.4%
2 1
 
0.4%
） 1
 
0.4%
（ 1
 
0.4%
→ 1
 
0.4%
Hiragana
ValueCountFrequency (%)
で 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13533
99.5%
CJK 44
 
0.3%
Punctuation 15
 
0.1%
None 5
 
< 0.1%
Hiragana 1
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 4767
35.2%
o 2686
19.8%
e 2565
19.0%
c 610
 
4.5%
i 518
 
3.8%
m 323
 
2.4%
a 280
 
2.1%
t 238
 
1.8%
r 224
 
1.7%
223
 
1.6%
Other values (16) 1099
 
8.1%
CJK
ValueCountFrequency (%)
認 16
36.4%
確 16
36.4%
分 2
 
4.5%
類 2
 
4.5%
動 1
 
2.3%
療 1
 
2.3%
治 1
 
2.3%
瘤 1
 
2.3%
脈 1
 
2.3%
要 1
 
2.3%
Other values (2) 2
 
4.5%
Punctuation
ValueCountFrequency (%)
※ 15
100.0%
None
ValueCountFrequency (%)
！ 2
40.0%
？ 1
20.0%
） 1
20.0%
（ 1
20.0%
Hiragana
ValueCountFrequency (%)
で 1
100.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

治療時合併症コメント
Categorical

HIGH CARDINALITY  MISSING 

Distinct140
Distinct (%)63.9%
Missing2296
Missing (%)91.3%
Memory size19.8 KiB
Thromboembolic
37 
Hemorrhagic
 
13
Hemorrahgic / an related
 
9
mass effect / Visual acuity disturbance
 
5
Cerebral infarction
 
4
Other values (135)
151 

Length

Max length98
Median length44
Mean length16.794521
Min length2

Characters and Unicode

Total characters3678
Distinct characters344
Distinct categories13 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique125 ?
Unique (%)57.1%

Sample

1st rowdysesthesia
2nd rowHemorrhagic
3rd rowNG tubeによる出血
4th rowHemorrhagic
5th row術後翌日梗塞

Common Values

ValueCountFrequency (%)
Thromboembolic 37
 
1.5%
Hemorrhagic 13
 
0.5%
Hemorrahgic / an related 9
 
0.4%
mass effect / Visual acuity disturbance 5
 
0.2%
Cerebral infarction 4
 
0.2%
穿刺部出血　mRS0 3
 
0.1%
Coil trouble 3
 
0.1%
術中破裂 3
 
0.1%
visual 3
 
0.1%
穿刺部腫脹 3
 
0.1%
Other values (130) 136
 
5.4%
(Missing) 2296
91.3%

Length

2023-09-16T15:30:52.933087image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
thromboembolic 52
 
12.7%
22
 
5.4%
hemorrhagic 14
 
3.4%
visual 13
 
3.2%
hemorrahgic 10
 
2.4%
an 10
 
2.4%
acuity 10
 
2.4%
related 9
 
2.2%
disturbance 9
 
2.2%
coil 8
 
2.0%
Other values (192) 253
61.7%

Most occurring characters

ValueCountFrequency (%)
o 264
 
7.2%
i 201
 
5.5%
r 198
 
5.4%
e 192
 
5.2%
m 175
 
4.8%
156
 
4.2%
c 144
 
3.9%
a 139
 
3.8%
b 137
 
3.7%
l 125
 
3.4%
Other values (334) 1947
52.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2163
58.8%
Other Letter 965
26.2%
Uppercase Letter 237
 
6.4%
Space Separator 188
 
5.1%
Other Punctuation 54
 
1.5%
Decimal Number 32
 
0.9%
Control 10
 
0.3%
Modifier Letter 10
 
0.3%
Open Punctuation 7
 
0.2%
Close Punctuation 7
 
0.2%
Other values (3) 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
術 31
 
3.2%
血 30
 
3.1%
に 27
 
2.8%
脳 25
 
2.6%
後 23
 
2.4%
の 19
 
2.0%
塞 19
 
2.0%
梗 18
 
1.9%
症 18
 
1.9%
中 15
 
1.6%
Other values (258) 740
76.7%
Lowercase Letter
ValueCountFrequency (%)
o 264
12.2%
i 201
9.3%
r 198
9.2%
e 192
 
8.9%
m 175
 
8.1%
c 144
 
6.7%
a 139
 
6.4%
b 137
 
6.3%
l 125
 
5.8%
t 104
 
4.8%
Other values (13) 484
22.4%
Uppercase Letter
ValueCountFrequency (%)
T 54
22.8%
H 27
11.4%
C 23
9.7%
R 22
9.3%
A 21
 
8.9%
S 19
 
8.0%
I 14
 
5.9%
V 13
 
5.5%
F 9
 
3.8%
L 8
 
3.4%
Other values (10) 27
11.4%
Decimal Number
ValueCountFrequency (%)
0 9
28.1%
1 7
21.9%
2 6
18.8%
3 3
 
9.4%
６ 2
 
6.2%
２ 1
 
3.1%
4 1
 
3.1%
9 1
 
3.1%
6 1
 
3.1%
5 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
/ 29
53.7%
。 9
 
16.7%
、 9
 
16.7%
, 3
 
5.6%
. 2
 
3.7%
: 1
 
1.9%
： 1
 
1.9%
Modifier Letter
ValueCountFrequency (%)
ー 4
40.0%
々 2
20.0%
ｰ 2
20.0%
ﾟ 2
20.0%
Space Separator
ValueCountFrequency (%)
156
83.0%
　 32
 
17.0%
Control
ValueCountFrequency (%)
5
50.0%
5
50.0%
Open Punctuation
ValueCountFrequency (%)
（ 4
57.1%
( 3
42.9%
Close Punctuation
ValueCountFrequency (%)
) 4
57.1%
） 3
42.9%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
+ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
＿ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2400
65.3%
Han 755
 
20.5%
Common 311
 
8.5%
Hiragana 172
 
4.7%
Katakana 40
 
1.1%

Most frequent character per script

Han
ValueCountFrequency (%)
術 31
 
4.1%
血 30
 
4.0%
脳 25
 
3.3%
後 23
 
3.0%
塞 19
 
2.5%
梗 18
 
2.4%
症 18
 
2.4%
中 15
 
2.0%
性 15
 
2.0%
部 14
 
1.9%
Other values (205) 547
72.5%
Latin
ValueCountFrequency (%)
o 264
 
11.0%
i 201
 
8.4%
r 198
 
8.2%
e 192
 
8.0%
m 175
 
7.3%
c 144
 
6.0%
a 139
 
5.8%
b 137
 
5.7%
l 125
 
5.2%
t 104
 
4.3%
Other values (33) 721
30.0%
Hiragana
ValueCountFrequency (%)
に 27
15.7%
の 19
 
11.0%
よ 14
 
8.1%
る 13
 
7.6%
で 12
 
7.0%
な 9
 
5.2%
し 7
 
4.1%
が 7
 
4.1%
れ 6
 
3.5%
を 6
 
3.5%
Other values (24) 52
30.2%
Common
ValueCountFrequency (%)
156
50.2%
　 32
 
10.3%
/ 29
 
9.3%
。 9
 
2.9%
、 9
 
2.9%
0 9
 
2.9%
1 7
 
2.3%
2 6
 
1.9%
5
 
1.6%
5
 
1.6%
Other values (22) 44
 
14.1%
Katakana
ValueCountFrequency (%)
テ 6
15.0%
ル 5
12.5%
イ 4
 
10.0%
ス 3
 
7.5%
カ 2
 
5.0%
ド 2
 
5.0%
コ 2
 
5.0%
ン 2
 
5.0%
バ 2
 
5.0%
ﾌ 2
 
5.0%
Other values (10) 10
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2641
71.8%
CJK 753
 
20.5%
Hiragana 172
 
4.7%
None 74
 
2.0%
Katakana 38
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 264
 
10.0%
i 201
 
7.6%
r 198
 
7.5%
e 192
 
7.3%
m 175
 
6.6%
156
 
5.9%
c 144
 
5.5%
a 139
 
5.3%
b 137
 
5.2%
l 125
 
4.7%
Other values (53) 910
34.5%
None
ValueCountFrequency (%)
　 32
43.2%
。 9
 
12.2%
、 9
 
12.2%
（ 4
 
5.4%
） 3
 
4.1%
々 2
 
2.7%
ｰ 2
 
2.7%
ﾟ 2
 
2.7%
６ 2
 
2.7%
ﾌ 2
 
2.7%
Other values (7) 7
 
9.5%
CJK
ValueCountFrequency (%)
術 31
 
4.1%
血 30
 
4.0%
脳 25
 
3.3%
後 23
 
3.1%
塞 19
 
2.5%
梗 18
 
2.4%
症 18
 
2.4%
中 15
 
2.0%
性 15
 
2.0%
部 14
 
1.9%
Other values (204) 545
72.4%
Hiragana
ValueCountFrequency (%)
に 27
15.7%
の 19
 
11.0%
よ 14
 
8.1%
る 13
 
7.6%
で 12
 
7.0%
な 9
 
5.2%
し 7
 
4.1%
が 7
 
4.1%
れ 6
 
3.5%
を 6
 
3.5%
Other values (24) 52
30.2%
Katakana
ValueCountFrequency (%)
テ 6
15.8%
ル 5
13.2%
ー 4
10.5%
イ 4
10.5%
ス 3
7.9%
カ 2
 
5.3%
ド 2
 
5.3%
コ 2
 
5.3%
ン 2
 
5.3%
バ 2
 
5.3%
Other values (6) 6
15.8%

23動脈瘤データ_Ver2（An ID 1）::bleb
Boolean

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)0.1%
Missing198
Missing (%)7.9%
Memory size5.0 KiB
False
1828 
True
489 
(Missing)
198 
ValueCountFrequency (%)
False 1828
72.7%
True 489
 
19.4%
(Missing) 198
 
7.9%
2023-09-16T15:30:52.996114image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

23動脈瘤データ_Ver2（An ID 1）::術中Date of rupture
Categorical

HIGH CORRELATION  MISSING  UNIFORM 

Distinct14
Distinct (%)100.0%
Missing2501
Missing (%)99.4%
Memory size19.8 KiB
2004/6/18
1 
2006/11/13
1 
2007/7/13
1 
2010/1/28
1 
2010/6/21
1 
Other values (9)
9 

Length

Max length10
Median length9
Mean length9.2142857
Min length8

Characters and Unicode

Total characters129
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)100.0%

Sample

1st row2004/6/18
2nd row2006/11/13
3rd row2007/7/13
4th row2010/1/28
5th row2010/6/21

Common Values

ValueCountFrequency (%)
2004/6/18 1
 
< 0.1%
2006/11/13 1
 
< 0.1%
2007/7/13 1
 
< 0.1%
2010/1/28 1
 
< 0.1%
2010/6/21 1
 
< 0.1%
2020/3/7 1
 
< 0.1%
2013/7/11 1
 
< 0.1%
2013/10/25 1
 
< 0.1%
2014/11/20 1
 
< 0.1%
2016/2/19 1
 
< 0.1%
Other values (4) 4
 
0.2%
(Missing) 2501
99.4%

Length

2023-09-16T15:30:53.044616image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2004/6/18 1
 
7.1%
2006/11/13 1
 
7.1%
2007/7/13 1
 
7.1%
2010/1/28 1
 
7.1%
2010/6/21 1
 
7.1%
2020/3/7 1
 
7.1%
2013/7/11 1
 
7.1%
2013/10/25 1
 
7.1%
2014/11/20 1
 
7.1%
2016/2/19 1
 
7.1%
Other values (4) 4
28.6%

Most occurring characters

ValueCountFrequency (%)
/ 28
21.7%
1 28
21.7%
2 25
19.4%
0 22
17.1%
6 8
 
6.2%
3 5
 
3.9%
7 4
 
3.1%
5 3
 
2.3%
4 2
 
1.6%
8 2
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 101
78.3%
Other Punctuation 28
 
21.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 28
27.7%
2 25
24.8%
0 22
21.8%
6 8
 
7.9%
3 5
 
5.0%
7 4
 
4.0%
5 3
 
3.0%
4 2
 
2.0%
8 2
 
2.0%
9 2
 
2.0%
Other Punctuation
ValueCountFrequency (%)
/ 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 129
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 28
21.7%
1 28
21.7%
2 25
19.4%
0 22
17.1%
6 8
 
6.2%
3 5
 
3.9%
7 4
 
3.1%
5 3
 
2.3%
4 2
 
1.6%
8 2
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 129
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 28
21.7%
1 28
21.7%
2 25
19.4%
0 22
17.1%
6 8
 
6.2%
3 5
 
3.9%
7 4
 
3.1%
5 3
 
2.3%
4 2
 
1.6%
8 2
 
1.6%

23動脈瘤データ_Ver2（An ID 1）::術中Rupture
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)7.1%
Missing2501
Missing (%)99.4%
Memory size5.0 KiB
True
 
14
(Missing)
2501 
ValueCountFrequency (%)
True 14
 
0.6%
(Missing) 2501
99.4%
2023-09-16T15:30:53.179169image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

total length
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct338
Distinct (%)13.7%
Missing51
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean70.198133
Minimum2
Maximum860
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.8 KiB
2023-09-16T15:30:53.230779image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile11
Q122
median38
Q375
95-th percentile259
Maximum860
Range858
Interquartile range (IQR)53

Descriptive statistics

Standard deviation92.803582
Coefficient of variation (CV)1.3220235
Kurtosis16.33179
Mean70.198133
Median Absolute Deviation (MAD)20
Skewness3.5536965
Sum172968.2
Variance8612.5049
MonotonicityNot monotonic
2023-09-16T15:30:53.297766image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24 54
 
2.1%
22 52
 
2.1%
20 52
 
2.1%
18 52
 
2.1%
15 51
 
2.0%
25 47
 
1.9%
21 47
 
1.9%
16 47
 
1.9%
19 46
 
1.8%
26 46
 
1.8%
Other values (328) 1970
78.3%
(Missing) 51
 
2.0%
ValueCountFrequency (%)
2 3
 
0.1%
3 4
 
0.2%
4 11
 
0.4%
5 9
 
0.4%
6 14
0.6%
7 9
 
0.4%
8 21
0.8%
9 19
0.8%
10 22
0.9%
11 29
1.2%
ValueCountFrequency (%)
860 1
< 0.1%
818 1
< 0.1%
760 1
< 0.1%
738 1
< 0.1%
719 1
< 0.1%
711 1
< 0.1%
674 1
< 0.1%
671 1
< 0.1%
644 1
< 0.1%
643 1
< 0.1%

Unnamed: 28
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 29
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 30
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 31
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 34
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 35
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 36
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 37
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 38
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 39
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 40
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 41
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 42
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 43
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 44
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 45
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 46
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 47
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 48
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 49
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 50
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 51
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 52
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 53
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 54
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 55
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 56
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 57
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 58
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 59
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 60
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 61
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 62
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 63
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 64
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 65
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 66
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 67
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 68
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 69
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 70
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 71
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 72
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 73
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 74
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 75
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 76
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 77
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 78
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 79
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 80
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 81
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 82
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 83
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 84
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 85
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 86
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 87
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 88
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 89
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 90
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 91
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 92
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 93
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 94
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 95
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 96
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 97
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 98
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 99
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 100
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 101
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 102
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 103
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 104
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 105
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 106
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 107
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 108
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 109
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 110
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 111
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 112
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 113
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 114
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 115
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 116
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 117
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 118
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 119
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 120
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 121
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 122
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 123
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 124
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 125
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 126
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 127
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 128
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 129
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 130
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 131
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 132
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 133
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 134
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 135
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 136
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 137
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 138
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 139
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 140
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 141
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 142
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 143
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 144
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 145
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 146
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 147
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 148
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 149
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 150
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 151
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 152
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 153
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 154
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 155
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 156
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 157
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 158
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 159
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 160
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 161
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 162
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 163
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 164
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 165
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 166
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 167
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 168
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 169
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 170
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 171
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 172
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 173
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 174
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 175
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 176
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 177
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 178
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 179
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 180
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 181
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 182
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 183
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 184
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 185
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 186
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 187
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 188
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 189
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 190
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 191
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 192
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 193
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 194
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 195
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 196
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 197
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 198
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 199
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 200
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 201
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 202
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 203
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 204
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 205
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 206
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 207
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 208
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 209
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 210
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Unnamed: 211
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2515
Missing (%)100.0%
Memory size19.8 KiB

Interactions

2023-09-16T15:30:46.291745image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:40.473596image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:41.119807image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:41.760434image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:42.475225image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:43.066641image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:43.744706image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:44.338220image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:44.956687image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:45.659292image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:46.356454image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:40.547053image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:41.185910image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:41.842803image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:42.541221image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:43.131284image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:43.807955image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:44.406420image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:45.022150image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:45.725882image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:46.420956image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:40.613428image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:41.251421image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:42.009122image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:42.602740image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:43.189474image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:43.868944image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:44.468396image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:45.086160image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:45.788932image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:46.481954image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:40.675054image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:41.311321image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:42.064888image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:42.662724image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:43.247449image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:43.926180image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:44.534982image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:45.145106image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:45.847162image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:46.545185image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:40.734936image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:41.370320image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:42.118980image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:42.718261image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:43.304058image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:43.981240image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:44.595360image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:45.201484image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:45.910711image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:46.603616image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:40.800639image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:41.432894image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:42.178880image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:42.780309image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:43.363057image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:44.037802image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:44.657861image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:45.266562image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:45.971746image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:46.661219image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:40.865716image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:41.499518image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:42.238426image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:42.839515image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:43.421404image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:44.094910image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:44.719396image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:45.325934image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:46.035264image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:46.725013image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:40.932444image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:41.559528image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:42.294974image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:42.894522image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:43.484704image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:44.152634image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:44.779418image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:45.387837image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:46.103066image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:46.788197image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:40.997274image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:41.620022image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:42.355493image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:42.949044image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:43.542243image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:44.214214image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:44.837326image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:45.541131image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:46.171585image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:46.856956image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:41.060275image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:41.681272image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:42.415141image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:43.011431image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:43.601766image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:44.277431image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:44.894935image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:45.601176image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-09-16T15:30:46.227777image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Correlations

2023-09-16T15:30:53.385291image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
患者IDAn ID1年齢aneurysm neckaneurysm size1aneurysm size2aneurysm size3aneurysm volumeVERtotal length08個人情報(本院)::性別An status 123動脈瘤データ_Ver2（An ID 1）::Aneurysm Type2SideLocation1VABAの区分Location2再治療outcomeadjunc tech.治療時合併症23動脈瘤データ_Ver2（An ID 1）::bleb23動脈瘤データ_Ver2（An ID 1）::術中Date of rupture
患者ID1.0000.807-0.0790.077-0.081-0.026-0.047-0.0110.161-0.0660.0000.0760.0300.0300.0590.1500.1400.1460.1970.2720.1140.1281.000
An ID10.8071.000-0.0550.078-0.117-0.058-0.081-0.0360.214-0.0900.0530.0370.0360.0580.0480.1880.1660.1600.2170.3240.0700.1401.000
年齢-0.079-0.0551.0000.1320.1200.1230.1340.128-0.1140.0960.1570.1090.0630.0280.0570.2760.2670.0730.0560.0320.0900.0001.000
aneurysm neck0.0770.0780.1321.0000.5160.7160.6540.627-0.1690.6910.0840.1290.2320.0460.1640.2650.2830.1690.1200.1970.0890.0061.000
aneurysm size1-0.081-0.1170.1200.5161.0000.7820.9120.823-0.2210.8190.0760.0460.1490.0000.0770.0000.1620.2510.0620.1240.1060.0471.000
aneurysm size2-0.026-0.0580.1230.7160.7821.0000.9260.876-0.1880.8790.0500.1130.1680.0010.1110.0830.1720.2450.0790.1370.1340.0551.000
aneurysm size3-0.047-0.0810.1340.6540.9120.9261.0000.989-0.2110.8970.0920.0650.2220.0000.1050.0630.1680.2660.0720.1100.0900.0841.000
aneurysm volume-0.011-0.0360.1280.6270.8230.8760.9891.000-0.2090.8310.0600.0000.1420.0000.0560.0770.1400.2290.0520.0000.1070.0301.000
VER0.1610.214-0.114-0.169-0.221-0.188-0.211-0.2091.000-0.0580.0620.0550.1500.0000.0790.1200.1320.1050.3190.1200.0700.0001.000
total length-0.066-0.0900.0960.6910.8190.8790.8970.831-0.0581.0000.0380.0280.1120.0000.1160.0320.0870.2980.0000.0900.1170.0311.000
08個人情報(本院)::性別0.0000.0530.1570.0840.0760.0500.0920.0600.0620.0381.0000.1070.1950.0660.3220.2850.3790.0000.0520.1320.0000.0001.000
An status 10.0760.0370.1090.1290.0460.1130.0650.0000.0550.0280.1071.0000.1420.0000.1130.1240.1320.1580.0620.2740.1250.1671.000
23動脈瘤データ_Ver2（An ID 1）::Aneurysm Type20.0300.0360.0630.2320.1490.1680.2220.1420.1500.1120.1950.1421.0000.0630.3210.5890.7080.0000.1130.2570.1760.0091.000
Side0.0300.0580.0280.0460.0000.0010.0000.0000.0000.0000.0660.0000.0631.0000.1010.1620.2530.0200.0000.3460.0000.0001.000
Location10.0590.0480.0570.1640.0770.1110.1050.0560.0790.1160.3220.1130.3210.1011.0001.0000.9390.0580.0470.2350.0630.1181.000
VABAの区分0.1500.1880.2760.2650.0000.0830.0630.0770.1200.0320.2850.1240.5890.1621.0001.0000.9650.0650.3040.3810.0000.093NaN
Location20.1400.1660.2670.2830.1620.1720.1680.1400.1320.0870.3790.1320.7080.2530.9390.9651.0000.2050.2670.1680.2980.1581.000
再治療0.1460.1600.0730.1690.2510.2450.2660.2290.1050.2980.0000.1580.0000.0200.0580.0650.2051.0000.1270.1590.1360.0141.000
outcome0.1970.2170.0560.1200.0620.0790.0720.0520.3190.0000.0520.0620.1130.0000.0470.3040.2670.1271.0000.2520.1670.0311.000
adjunc tech.0.2720.3240.0320.1970.1240.1370.1100.0000.1200.0900.1320.2740.2570.3460.2350.3810.1680.1590.2521.0000.0000.1601.000
治療時合併症0.1140.0700.0900.0890.1060.1340.0900.1070.0700.1170.0000.1250.1760.0000.0630.0000.2980.1360.1670.0001.0000.0671.000
23動脈瘤データ_Ver2（An ID 1）::bleb0.1280.1400.0000.0060.0470.0550.0840.0300.0000.0310.0000.1670.0090.0000.1180.0930.1580.0140.0310.1600.0671.0001.000
23動脈瘤データ_Ver2（An ID 1）::術中Date of rupture1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000NaN1.0001.0001.0001.0001.0001.0001.000

Missing values

2023-09-16T15:30:47.279041image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-09-16T15:30:48.353301image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-09-16T15:30:49.959994image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

患者IDAn ID1検査日検査種別08個人情報(本院)::性別年齢An status 123動脈瘤データ_Ver2（An ID 1）::Aneurysm Type2SideLocation1VABAの区分Location2aneurysm neckaneurysm size1aneurysm size2aneurysm size3aneurysm volume再治療治療回数VERoutcomeadjunc tech.治療時合併症治療時合併症コメント23動脈瘤データ_Ver2（An ID 1）::bleb23動脈瘤データ_Ver2（An ID 1）::術中Date of rupture23動脈瘤データ_Ver2（An ID 1）::術中Rupturetotal lengthUnnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31Unnamed: 32Unnamed: 33Unnamed: 34Unnamed: 35Unnamed: 36Unnamed: 37Unnamed: 38Unnamed: 39Unnamed: 40Unnamed: 41Unnamed: 42Unnamed: 43Unnamed: 44Unnamed: 45Unnamed: 46Unnamed: 47Unnamed: 48Unnamed: 49Unnamed: 50Unnamed: 51Unnamed: 52Unnamed: 53Unnamed: 54Unnamed: 55Unnamed: 56Unnamed: 57Unnamed: 58Unnamed: 59Unnamed: 60Unnamed: 61Unnamed: 62Unnamed: 63Unnamed: 64Unnamed: 65Unnamed: 66Unnamed: 67Unnamed: 68Unnamed: 69Unnamed: 70Unnamed: 71Unnamed: 72Unnamed: 73Unnamed: 74Unnamed: 75Unnamed: 76Unnamed: 77Unnamed: 78Unnamed: 79Unnamed: 80Unnamed: 81Unnamed: 82Unnamed: 83Unnamed: 84Unnamed: 85Unnamed: 86Unnamed: 87Unnamed: 88Unnamed: 89Unnamed: 90Unnamed: 91Unnamed: 92Unnamed: 93Unnamed: 94Unnamed: 95Unnamed: 96Unnamed: 97Unnamed: 98Unnamed: 99Unnamed: 100Unnamed: 101Unnamed: 102Unnamed: 103Unnamed: 104Unnamed: 105Unnamed: 106Unnamed: 107Unnamed: 108Unnamed: 109Unnamed: 110Unnamed: 111Unnamed: 112Unnamed: 113Unnamed: 114Unnamed: 115Unnamed: 116Unnamed: 117Unnamed: 118Unnamed: 119Unnamed: 120Unnamed: 121Unnamed: 122Unnamed: 123Unnamed: 124Unnamed: 125Unnamed: 126Unnamed: 127Unnamed: 128Unnamed: 129Unnamed: 130Unnamed: 131Unnamed: 132Unnamed: 133Unnamed: 134Unnamed: 135Unnamed: 136Unnamed: 137Unnamed: 138Unnamed: 139Unnamed: 140Unnamed: 141Unnamed: 142Unnamed: 143Unnamed: 144Unnamed: 145Unnamed: 146Unnamed: 147Unnamed: 148Unnamed: 149Unnamed: 150Unnamed: 151Unnamed: 152Unnamed: 153Unnamed: 154Unnamed: 155Unnamed: 156Unnamed: 157Unnamed: 158Unnamed: 159Unnamed: 160Unnamed: 161Unnamed: 162Unnamed: 163Unnamed: 164Unnamed: 165Unnamed: 166Unnamed: 167Unnamed: 168Unnamed: 169Unnamed: 170Unnamed: 171Unnamed: 172Unnamed: 173Unnamed: 174Unnamed: 175Unnamed: 176Unnamed: 177Unnamed: 178Unnamed: 179Unnamed: 180Unnamed: 181Unnamed: 182Unnamed: 183Unnamed: 184Unnamed: 185Unnamed: 186Unnamed: 187Unnamed: 188Unnamed: 189Unnamed: 190Unnamed: 191Unnamed: 192Unnamed: 193Unnamed: 194Unnamed: 195Unnamed: 196Unnamed: 197Unnamed: 198Unnamed: 199Unnamed: 200Unnamed: 201Unnamed: 202Unnamed: 203Unnamed: 204Unnamed: 205Unnamed: 206Unnamed: 207Unnamed: 208Unnamed: 209Unnamed: 210Unnamed: 211
0300135353992003/11/7Vascular IVR女69unrupturesaccularRtICANaNPcom3.85.06.95.95107.427250無1NaNComplete occlusion記載不可noneNaNnoNaNNaN96.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
13001377958212003/11/12Vascular IVR女49unrupturesaccularLtICANaNSuperior hypophyseal artery2.710.98.29.55446.706343無1NaNComplete occlusion記載不可noneNaNnoNaNNaN116.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
23001350422772003/11/21Vascular IVR女54unrupturesaccularLtICANaNant. choro6.05.56.56.00112.255000無1NaNComplete occlusion記載不可noneNaNnoNaNNaN89.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
330013705422172003/11/26Vascular IVR女56unrupturesaccularLtICANaNophthalmic4.69.99.89.85500.121930有1NaNNeck remnantSimplenoneNaNnoNaNNaN144.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
430013847282372003/11/26Vascular IVR女56rupturesaccularLtVABAVAVA-PICA1.03.0NaNNaN0.000000無1NaNNaNSimplenoneNaNyesNaNNaN6.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
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